SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1921–1930 of 4891 papers

TitleStatusHype
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationCode0
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update—0
Quantum Computing for Climate Resilience and Sustainability Challenges—0
Robust personalized pricing under uncertainty of purchase probabilities—0
On-the-fly spectral unmixing based on Kalman filtering—0
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over TimeCode1
An Interface Method for Co-simulation of EMT Model and Shifted Frequency EMT Model Based on Rotational Invariance Techniques—0
Leveraging Uniformization and Sparsity for Computation of Continuous Time Dynamic Discrete Choice Games—0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified